3 July 2026

Speak up! Closing the cultural gap in education

A systematic review of research on intercultural communication in higher education finds that cultural “power distance”, which is the extent to which people accept unequal authority, continues to shape who speaks, who is heard, and how knowledge is shared in multicultural classrooms.

The review, published in the International Journal of Knowledge and Learning, used a structured method for transparent evidence selection and thematic coding to identify patterns across the relevant literature. In their analysis, the researchers considered three communication pathways: student-to-student, student-to-teacher, and teacher-to-student interactions.

Student-to-student exchanges were found to most consistently support empathy and intercultural learning. However, they did find that language barriers and stereotypes often limited participation. Student-to-teacher communication emerged as the least explored pathway in the literature. It was frequently constrained by hesitation to challenge authority or fear of negative evaluation. Teacher-to-student interaction remained largely shaped by traditional transmissive teaching, where information flows primarily from lecturer to student. However, participatory teaching methods and digital tools were reported to have reduced problems with hierarchy in some contexts.

The researchers suggest that communication inequalities are not simply interpersonal but embedded in institutional structures that regulate participation and legitimacy in academic dialogue. They suggest that a new framework might connect previously fragmented research and allow new insights to be found to guide education and improve learning opportunities in globalised universities.

Menjívar, C.H.H. and Mayorga, C.A.E. (2026) ‘Power distance and intercultural communication in higher education: a three-pathway systematic review’, Int. J. Knowledge and Learning, Vol. 19, No. 5, pp.1–22.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

New Open Access article available: "Benchmarking gas-saving patterns in AI-generated DeFi smart contract"

The following International Journal of Agile Systems and Management article, "Benchmarking gas-saving patterns in AI-generated DeFi smart contract", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Business Information Systems

The International Journal of Business Information Systems has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Digital and managerial capabilities, resilience, and innovation for the sustainability of traditional cosmetic businesses in China
  • Assessing brand equity through customer reviews: a naïve Bayes classifier approach

New Open Access article available: "Linking business ecosystem structure to risk perception: a network analysis of Indonesia's bamboo craft industry"

The following International Journal of Business Innovation and Research article, "Linking business ecosystem structure to risk perception: a network analysis of Indonesia's bamboo craft industry", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • 3D visual generation system based on the fusion of multi-view geometry reconstruction and deep learning
  • A trustworthy traceability and permission management system for academic publishing processes based on blockchain and AI
  • Interactive teaching system based on an improved collaborative filtering algorithm and matrix decomposition
  • Dynamic diagnosis of students' state in English classes based on feature decoupling and improved active learning algorithm
  • Practical application of social science text translation based on the computer-assisted translation platform YiCAT

2 July 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Process control of financial informatisation in industrial enterprises based on data mining and RPA technology
  • Urban spatial morphology evolution mechanism and resilience assessment based on multi-source data fusion
  • Transformer-based cross-cultural intelligent translation system for international communication
  • Correlation between course grades and evaluation grades based on Fruchterman-Reingold and Theil-Sen
  • English-derived place name recognition and translation based on knowledge graph and phonetic generation algorithm

Research pick: AI design for life - "Forms and innovative applications of fine arts factors in the design of literary and artistic products"

Researchers have developed an artificial intelligence (AI) system that evaluates the visual appeal of literary and artistic product designs by mimicking how people naturally direct their attention across an image, a step that could help designers create products that better match consumer preferences. The work was published in the International Journal of Engineering Systems Modelling and Simulation.

The researchers suggest that existing image-aesthetics systems focus too much on isolated visual features while overlooking visual saliency. Visual saliency is the idea that parts of an image are instinctively more attractive to human attention. Additionally, those earlier models ignore composition, the arrangement of visual elements such as lines, shapes, and background within an image.

The new algorithmic method combines two approaches. The first analyses edge patterns to capture the structure and balance of a design. The second uses weakly supervised learning, a machine-learning technique that learns from limited labelled examples, and an attention mechanism, which enables the model to prioritise the most important parts of an image during analysis.

Tests on two widely used image-aesthetics datasets found that the approach outperformed established deep-learning models. Having built the system on the EfficientNet architecture that also achieved a favourable balance between accuracy, speed, and computing cost.

The team suggests that the method could provide designers with measurable guidance on how changes to composition or focal points affect perceived quality. They also suggest it could help preserve cultural identity in product design by incorporating aesthetic principles rooted in different artistic traditions, rather than relying on imitation of dominant international styles.

Yu, X. (2026) ‘Forms and innovative applications of fine arts factors in the design of literary and artistic products’, Int. J. Engineering Systems Modelling and Simulation, Vol. 17, No. 7, pp.1–11.

News media may use this press release as source material, in whole or in part, provided the content is not materially misrepresented. A link back to the original article is appreciated.

New Open Access article available: "Digital marketing, customer engagement, supply chain agility, and flexible logistics as capability drivers of dynamic marketing channel performance: an operations management perspective"

The following International Journal of Services and Operations Management article, "Digital marketing, customer engagement, supply chain agility, and flexible logistics as capability drivers of dynamic marketing channel performance: an operations management perspective", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Low Radiation

The following sample articles from the International Journal of Low Radiation are now available here for free:
  • Status of radiographic services at government hospitals in Gaza Governorates, Palestine
  • Partitioning and health risk dose assessment of polonium-210 in selected brands of cigarettes and types of tobacco consumed in Jordan
  • Determination of radioactive isotopes and some physicochemical parameters in five different rivers in the south Ondo State, Nigeria
  • Assessment of excess lifetime cancer risk and radioactive heat production from waste dumpsites in three cities in Southwestern Nigeria
  • The cancer mortality and incident studies due to the natural background radiation in Poland

New Open Access article available: "Research on intelligent clothing design integrating visual communication and embedded system - taking the blind safety clothing as an example"

The following International Journal of Computational Systems Engineering article, "Research on intelligent clothing design integrating visual communication and embedded system - taking the blind safety clothing as an example", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

1 July 2026

Research pick: Pocket pedagogy – understanding developments in mobile learning - "Charting the landscape of mobile learning in higher education: a bibliometric mapping of research trends and organisational contexts"

A bibliometric analysis of mobile learning research published between 2017 and 2026 shows a sharp expansion in output. There was a big surge between 2020 and 2022 associated with pandemic-driven shifts in higher education. Mobile learning (m-learning), defined as the use of mobile devices such as smartphones and tablets to support educational activity, has grown alongside global device penetration and intensive daily usage among students, according to the study published in the International Journal of Mobile Learning and Organisation.

The researchers looked at more than 2,500 papers indexed in Web of Science, using bibliometric spreadsheet techniques and the network-mapping tool VOSviewer. This allowed them to identify patterns in authorship, citations, and research themes through statistical analysis of the academic publications.

China, Taiwan, and the USA emerged as the most active contributors, with the National Taiwan University of Science and Technology identified as the leading institution. Influential work in the field is strongly associated with scholars such as Gwo-Jen Hwang.

The team’s thematic mapping indicates a shift away from early emphasis on technology adoption towards more integrated approaches to teaching. It focuses on how mobile tools can shape teaching and learning design. The analysis also highlights increasing collaboration across regions, with growing scholarly influence from East Asia and Latin America.

The team suggests that future research might take into account the advent of readily available artificial intelligence (AI) tools for learning support as well as immersive technologies such as augmented reality (AR) and virtual reality (VR). They suggest that these developments are expected to expand interactive and contextual learning experiences in higher education.

Shambare, B. and Jita, T. (2026) ‘Charting the landscape of mobile learning in higher education: a bibliometric mapping of research trends and organisational contexts’, Int. J. Mobile Learning and Organisation, Vol. 20, No. 5, pp.1–27.

Free Open Access issue published by International Journal of Business and Emerging Markets

The International Journal of Business and Emerging Markets has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • When negative news fails to deter: the emotional shielding effect of brand attachment on perceived risk
  • Marketing effectiveness in emerging Mekong markets: an fsQCA of influencer-led sustainable branding

New Open Access article available: "Charting the landscape of mobile learning in higher education: a bibliometric mapping of research trends and organisational contexts"

The following International Journal of Mobile Learning and Organisation article, "Charting the landscape of mobile learning in higher education: a bibliometric mapping of research trends and organisational contexts", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Dynamical Systems and Differential Equations

The following sample articles from the International Journal of Dynamical Systems and Differential Equations are now available here for free:
  • Dynamics of superattracting skew products on the attracting basins: Böttcher coordinates and plurisubharmonic functions
  • Improvements and application of normal cloud positive regression model
  • An advanced fractal optimisation method for network energy and power based on cellular massive MIMO based on photovoltaic technology
  • Technical evaluation on improved Hough transform for monitoring traffic sign images under depth algorithm
  • Intelligent optimisation of self-healing strategy of distribution network based on differential evolution and advanced fractal
  • Nonlinear programming differential equation method for architectural landscape spatial structure engineering in dynamics systems
  • A high-precision broadband low-cost multiplier topology for electric energy measurement
  • Fractional calculus in dynamic analysis of truck frame: a special focus on finite element modelling

New Open Access article available: "Integration of computational algorithms in enhancing geological modelling and drilling efficiency in coal mine exploration"

The following International Journal of Oil, Gas and Coal Technology article, "Integration of computational algorithms in enhancing geological modelling and drilling efficiency in coal mine exploration", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

International Journal of Systems, Control and Communications is now an open access-only journal

We are pleased to announce that the International Journal of Systems, Control and Communications is now an Open Access-only journal. All accepted articles submitted from 1 July 2026 onwards will be Open Access, and will require an article processing charge of EUR €1700.

30 June 2026

New Open Access article available: "Forms and innovative applications of fine arts factors in the design of literary and artistic products"

The following International Journal of Engineering Systems Modelling and Simulation article, "Forms and innovative applications of fine arts factors in the design of literary and artistic products", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

American Journal of Finance and Accounting accepted by Norwegian Register for Scientific Journals, Series and Publishers

Inderscience's Editorial Office is delighted to announce that the American Journal of Finance and Accounting has been listed by the Norwegian Register for Scientific Journals, Series and Publishers.

The journal's Editor in Chief, Dr. Mark Tampuri, has made the following comment on the achievement:

"The inclusion of the American Journal of Finance and Accounting in the Norwegian Register marks an important milestone in the journal’s international standing. It reflects the sustained commitment and collective efforts of our editorial board, reviewers and contributors in maintaining high-quality scholarship and impactful research across key areas of contemporary finance and accounting. As Editor in Chief, I see this recognition as a strong endorsement of the journal’s direction and a foundation for further strengthening its global visibility, academic rigor and contribution to both theory and practice."

Research pick: Smart clothing for blind travellers - "Research on intelligent clothing design integrating visual communication and embedded system – taking the blind safety clothing as an example"

Researchers have developed a prototype of intelligent, or “smart”, clothing designed to improve the safety of blind and visually impaired people by combining embedded electronics with sensors that detect hazards, falls, and emergencies. Details of the system are reported in the International Journal of Computational Systems Engineering.

The garment integrates an embedded system, computer components built directly into the material, with sensors that monitor the surrounding environment and trigger warnings. Tests found the warning system remained effective at distances of up to 30 metres in complete darkness, while a dedicated fall-detection module identified incidents in less than half a second, leaving sufficient time for an integrated airbag protection system to deploy.

The study also highlights the potential of smart clothing to provide monitoring, feedback, and automated responses while remaining wearable in everyday life. The work thus addresses a gap in existing assistive technologies. While white canes and handheld guidance devices focus on obstacle avoidance and navigation, the researchers argue that less attention has been paid to accident detection, emergency alerts, and impact protection.

The researchers explain that there are some obstacles that need to be removed for widespread adoption of the technology to be possible. Embedded components reduce comfort, the durability of some hardware has yet to be tested over long periods, and manufacturing quality could vary at scale. They also identify cybersecurity, data privacy, and regulation as areas requiring further development.

Sun, Z. (2026) ‘Research on intelligent clothing design integrating visual communication and embedded system – taking the blind safety clothing as an example’, Int. J. Computational Systems Engineering, Vol. 10, No. 10, pp.1–9.

29 June 2026

Research pick: Green supply matters - "Green procurement in practice: how buyer-supplier interaction differs across product categories"

Companies hoping to reduce the environmental impact of their purchasing should tailor relationships with suppliers to different types of products, rather than relying on a single procurement strategy, according to research in the International Journal of Procurement Management.

The study used interviews with procurement staff and suppliers in the international energy sector. The results were supported by internal company documents. The research argues that environmental targets can be undermined when organisations treat all supplier relationships alike, despite differences in supply risk and technical complexity.

Indeed, the research found that green procurement, the integration of environmental considerations into purchasing decisions, depends not only on how the products are sourced but also on how buyers and suppliers work together to reduce carbon emissions, resource use, and overall environmental impact.

The researchers found that companies do not use the same approach for every purchase. Complex products require close collaboration with suppliers to improve environmental performance, while routine purchases are more likely to rely on suppliers meeting agreed environmental standards. Products that fall between these extremes require buyers to translate environmental goals into detailed technical specifications.

The findings also suggest that certification alone may not be enough to improve environmental performance. Rather, firms need different levels of collaboration, monitoring and resource sharing with suppliers depending on the product category. This is particularly important as environmental and supply-chain reporting requirements become more demanding.

Edgal, E., Holma, A-M. and Taheriruh, M. (2026) ‘Green procurement in practice: how buyer-supplier interaction differs across product categories’, Int. J. Procurement Management, Vol. 25, No. 6, pp.1–30.

26 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Recurrent neural network-based analysis of influencing factors on sports event communication effectiveness from the intelligent media perspective
  • Dynamic optimisation algorithm for online learning intervention based on cognitive-emotional multimodal fusion
  • Dynamic optimisation of visitor diversion in smart scenic areas using deep reinforcement learning
  • Large language model-driven student career knowledge graph and interpretable adaptive reasoning
  • A big data-driven personalised learning framework for education with adaptive content delivery

Research pick: What comes around, comes around - "A survey on skills and education needs for the industrial circular economy transition"

A lack of trained workers may be one of the biggest obstacles to adopting circular economy practices, according to a survey of more than 100 industry experts involved in sustainability initiatives published in the International Journal of Product Lifecycle Management.

The study found that companies face not only technological and financial challenges, but also skills shortages among their staff. The researchers say this has implications for education providers as businesses seek workers capable of managing environmental and digital transformation.

The concept of the circular economy aims to keep products and materials in use for longer through repair, reuse, remanufacturing, and recycling. This ultimately reduces waste and resource consumption. Increasingly, these activities rely on fairly novel technologies, such as advanced data analysis, internet of things devices, and even artificial intelligence (AI). These all feed into “circular” product design and product lifecycle management.

The findings highlight the demands of a shift towards greener business models in parallel with greater digitalisation. The researchers argue this requires teams combining technical expertise with communication, negotiation, and strategic decision-making skills. As such, universities and vocational training providers need to align their programmes more closely with labour market needs to close the skills gap.

Trevisan, A.H., Acerbi, F., Pellucchi, I., Dukovska-Popovska, I., Mossa, G., Terzi, S. and Sassanelli, C. (2026) ‘A survey on skills and education needs for the industrial circular economy transition’, Int. J. Product Lifecycle Management, Vol. 16, No. 2, pp.218–251.

New Open Access article available: "Green procurement in practice: how buyer-supplier interaction differs across product categories"

The following International Journal of Procurement Management article, "Green procurement in practice: how buyer-supplier interaction differs across product categories", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

New Open Access article available: "Power distance and intercultural communication in higher education: a three-pathway systematic review"

The following International Journal of Knowledge and Learning article, "Power distance and intercultural communication in higher education: a three-pathway systematic review", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Intelligent assessment and teaching optimisation of college Russian translation based on transformer multimodal representation learning
  • Adaptive crawling strategies and quality-aware cleansing for Korean teaching resources
  • Keyword association mining and topic evolution analysis algorithm for knowledge graph in the energy field
  • Deep learning-based multimodal vocal emotion recognition
  • A multimodal generative AI dialogue system for real-time intervention in English learning anxiety

25 June 2026

Research pick: Integration, the key to computational thinking - "Unlocking computational thinking: immersive technologies for solving complex problems"

Training in computational thinking can improve a student’s ability to tackle complex problems, according to research in the International Journal of Technology Enhanced Learning, which examined both student perception of their own skills and their demonstrated performance. The findings come at a time when higher education faces increased pressure to equip students with transferable skills for the changing workplace.

Computational thinking is a structured approach to problem-solving that involves breaking problems into smaller parts, identifying patterns, focusing on essential information through abstraction, and designing step-by-step procedures known as algorithms to find a solution. Although often associated with computer science, the researchers argue that these skills are relevant across all disciplines. Previous research has linked computational thinking to critical thinking, creativity and innovation.

The study found that participants improved their ability to identify patterns, break down problems, and construct logical solutions. Students from one institution initially outperformed their peers, but with training, those differences were largely eliminated, the team found. In addition, improvements in abstraction, pattern recognition, and algorithm design appeared to reinforce each other. This finding supports the view that these skills develop most effectively when taught together as part of an overarching approach to problem-solving.

George-Reyes, C.E., Oliva-Córdova, L.M. and Bustamante-Ruiz, S.P. (2026) ‘Unlocking computational thinking: immersive technologies for solving complex problems’, Int. J. Technology Enhanced Learning, Vol. 18, No. 5, pp.1–24.

Free sample articles newly available from International Journal of Vehicle Noise and Vibration

The following sample articles from the International Journal of Vehicle Noise and Vibration are now available here for free:
  • Machine learning based progressive crack fault monitoring on spur gear using vibration analysis
  • Preview control of the random response of a full car vehicle model traversing a rough road
  • Assessing the efficiency of TPI-NSI and NSI-TPI in isolating the vibration of driver's seat
  • Kinematic simulations and design of a steering upright for a single seater electric car
  • Intelligent fault detection of spark plugs using vibration signal analysis and artificial neural networks

24 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

  • Optimisation analysis of unmanned coordination path considering line crossing and various disturbance factors
  • Semantic analysis-integrated LSTM neural network: a novel spelling correction approach for academic English translation
  • Generative adversarial network and parametric design algorithm for public art form generation
  • A sustainable community user experience generation framework integrating the generative adversarial network and visual attention model
  • Real-time image/surveillance waste sorting via MatMul-free-based encoder-decoder learning structure

Research pick: Don’t let the landslide bring the power down - "Change detection framework for power facilities in disaster scenarios"

Artificial intelligence (AI) can identify landslides and other geological changes that threaten electricity transmission towers, potentially helping operators intervene before infrastructure fails, according to research in the International Journal of Power and Energy Conversion.

The researchers focused on change detection, a remote-sensing technique that compares images of the same location taken at different times to identify disturbances in the landscape. While widely used in environmental monitoring and disaster assessment, such systems have not historically worked well with landslides, because disaster datasets are limited.

The new model analyses satellite or drone images captured before and after a disaster using a twin-network architecture, in which two linked AI systems process and compare images from different periods. It also uses a visual foundation model, a large AI system pre-trained on remote-sensing imagery, to provide broader information about terrain and landscape features.

A key component of the approach is an attention-based alignment module, which allows the AI to focus on relevant information. Here, the module filters out irrelevant differences, such as seasonal vegetation changes or lighting variations, while highlighting structural changes linked to hazards.

Tests on a real disaster dataset showed the system outperformed several recent change-detection methods.

Wu, J., Tang, H., Cen, G. and Wang, K. (2026) ‘Change detection framework for power facilities in disaster scenarios’, Int. J. Power and Energy Conversion, Vol. 17, No. 5, pp.1–20.

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • A case study on vision-based intelligent inspection for surface defect detection in CNC machining using YOLOv7 and transfer learning
  • Zero-sample accounting standards migration framework empowered by meta-learning
  • Multimodal knowledge fusion and intelligent generation model in decision support systems for energy industry
  • A utility-aware scheduling model for online learning tasks based on dynamic psychological cognitive load perception
  • Lightweighting and end-side deployment of multi-modal large model based on cross-modal attention distillation

23 June 2026

Research pick: Colour feels - "Evaluating the impact of colour congruence on marketing effectiveness within Instagram campaigns"

Brands seeking attention on social media outlets, such as Instagram, may benefit from keeping the colours in their posts visually consistent, according to research in the International Journal of Mobile Communications.

The research analysed 365 responses from Instagram users. It found that they were more positively engaged with a post and its associated brand when the background colours of a post matched the main visual elements of the image. The team suggests that this effect is due to processing fluency, the ease with which people understand and interpret information.

Using a controlled experiment based on Instagram-style brand content, researchers compared posts with congruent colour schemes against those with contrasting colours. Participants exposed to the former reported stronger brand attitudes and greater intentions to revisit the brand’s Instagram page and purchase its products than those seeing the more conflicting colour schemes.

The findings suggest that colour does more than attract attention. In crowded digital environments, consumers often rely on visual cues to form rapid judgements about a brand. Consistent colour schemes appeared to reduce the mental effort required to interpret a post, allowing viewers to focus more on its message.

Chen, C-C. and Chiu, Y-P. (2026) ‘Evaluating the impact of colour congruence on marketing effectiveness within Instagram campaigns’, Int. J. Mobile Communications, Vol. 27, No. 4, pp.417–434.

New Open Access article available: "A survey on skills and education needs for the industrial circular economy transition"

The following International Journal of Product Lifecycle Management article, "A survey on skills and education needs for the industrial circular economy transition", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

22 June 2026

Research pick: Resetting your fingerprints - "Fingerprint template protection: cancellable biometrics"

The obvious problem with biometrics is that once someone has stolen your fingerprint or iris ID, you cannot simply reset those to block their access as you might a password. Now, research in the International Journal of Computational Vision and Robotics offers a new approach to protecting biometric authentication data so that the risk associated with this kind of irreversible identity theft can be largely avoided and give users an option to reset their fingerprints and other biometrics, as it were.

Biometric authentication systems identify individuals using physiological or behavioural characteristics, such as fingerprints, facial features, or even how they type or move a computer mouse rather than passwords or physical tokens. However, such traits are essentially fixed and so compromised data cannot simply be reset like a password. To address this, the study focuses on the idea of cancellable biometrics, a technique in which biometric data is deliberately transformed from the start so that it can be revoked and replaced if stolen, while still allowing accurate identity verification.

The proposed system combines several computational techniques to protect biometric templates. Feature extraction is performed using Speeded-Up Robust Features (SURF), a computer vision method that detects distinctive points in images. The resulting data is then processed using a Fast Fourier Transform (FFT), a mathematical tool that converts signals into frequency components. Security is further enhanced through index-of-maximum hashing, which encodes dominant features into compact representations, and a matrix-based operation used to combine vectors securely.

The team has tested their approach on standard fingerprint datasets and found it to be comparable with existing methods but stronger than some in terms of strengthening resistance to attacks, including record multiplicity attacks, where adversaries attempt to reconstruct original data by linking multiple compromised templates.

Shaikh, A.S. and Patel, V.D. (2026) ‘Fingerprint template protection: cancellable biometrics’, Int. J. Computational Vision and Robotics, Vol. 16, No. 4, pp.399–410.

New Open Access article available: "AI and linguistics give a new meaning to the concept of semantic interoperability in electronic medical records systems"

The following International Journal of Healthcare Technology and Management article, "AI and linguistics give a new meaning to the concept of semantic interoperability in electronic medical records systems", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

New Open Access article available: "Generative adversarial networks for simulating emotional resonance in industrial product design"

The following International Journal of Simulation and Process Modelling article, "Generative adversarial networks for simulating emotional resonance in industrial product design", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

New Open Access article available: "Simulation modelling of fashion colour harmonisation with visual transformers"

The following International Journal of Simulation and Process Modelling article, "Simulation modelling of fashion colour harmonisation with visual transformers", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

New Scopus and Clarivate Web of Science achievements for Inderscience journals

Scopus and Clarivate have released their latest CiteScores, impact factors and citation indicators, and Inderscience's Editorial Office is pleased to announce that several Inderscience journals have increased their Scopus CiteScores, particularly the International Journal of Hydromechatronics, International Journal of Mobile Learning and Organisation and International Journal of Environment and Health.

With regard to Clarivate, the International Journal of Hydromechatronics, International Journal of Mobile Learning and Organisation, International Journal of Bio-Inspired Computation and International Journal of Managerial and Financial Accounting continue to maintain notably high impact factors, with the International of Mobile Learning and Organisation and International Journal of Hydromechatronics performing particularly well in terms of citation indicators.

CiteScores and impact factors can be found on all indexed journals' homepages. We thank and congratulate all the editors, board members, reviewers and authors who have played their part in these latest indexing achievements.

19 June 2026

New Open Access article available: "Endoscopic ultrasonography in differential diagnostics of benign and malignant pathology of the common bile ducts utilising fuzzy mathematical technologies"

The following International Journal of Medical Engineering and Informatics article, "Endoscopic ultrasonography in differential diagnostics of benign and malignant pathology of the common bile ducts utilising fuzzy mathematical technologies", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Under the radar love for brands - "Unveiling the recall power of covert advertising: a study on stealth advertising in Indian reality shows"

A study of advertising embedded in Indian reality television examines how stealth, or subliminal, advertising, affects brand recall in a media environment saturated with promotional messages. The work, published in the International Journal of Indian Culture and Business Management, looks at how audiences exposed to thousands of brand impressions daily are affected by this approach to advertising. The findings have implications for marketing departments, which are increasingly using subtle product placement to familiarise potential and known customers with brands.

The research used within-subject experiments where participants viewed 12-minute clips from five Indian reality programmes containing embedded brand appearances. Recall was measured using standardised questionnaires assessing brand memory after exposure. Across 20 brands, most achieved moderate recall through this form of advertising.

The team found that two factors most influenced brand recall: whether the placement was spoken or visual and whether it meshed with the premise or arc of the segment. The results showed that verbal references were more effective than visual placements, but higher congruity between brand and the storyline of the segment improved recall.

Perhaps paradoxically, visual prominence of a product did not affect brand recall significantly. This challenges the marketing assumption that visibility drives effectiveness. The researchers concluded that embedded advertising depends largely on more subtle cues than straightforward visibility in the segment. Product placement is on the rise across TV, streaming platforms, and in digital content. Marketing departments hoping to familiarise consumers with their products need to understand these findings to benefit the most.

Dua, G.G., Vaidya, R.D. and Bapat, G.S. (2026) ‘Unveiling the recall power of covert advertising: a study on stealth advertising in Indian reality shows’, Int. J. Indian Culture and Business Management, Vol. 38, No. 1, pp.68–93.

Free Open Access special issue on "Green Supply Chain Management: Innovations in Sustainable Business Environment and Digital Transformation – Part 2" published by International Journal of Environment and Sustainable Development

The International Journal of Environment and Sustainable Development has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Evaluation on the impact of digital transformation on the economic eco-environmental benefits of enterprises under the background of sustainable development
  • Coordinated development of rural green industry planning based on ecological sustainable model and the internet of things
  • From smart facilities to smart services: building a new ecosystem integrating tourism and smart cities
  • Environmental variable regulation and optimisation strategy in forest seedling cultivation based on reinforcement learning
  • Optimisation of landscape feature intelligent recognition algorithm based on deep learning
  • AI-based green ecological construction of sustainable environment
  • Landscape infrastructure optimisation design based on a BIM-GIS coupling model

New Open Access article available: "Fuelling the customer experience: an exploration of service quality in fuel stations through importance-performance analysis"

The following International Journal of Business Innovation and Research article, "Fuelling the customer experience: an exploration of service quality in fuel stations through importance-performance analysis", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Newly announced journal: International Journal of Technology and Digital Intelligence

 

The International Journal of Technology and Digital Intelligence proposes and fosters discussion on the convergence of emerging technology ecosystems, sector-specific digital transformation and human-centred digital intelligence, examined through a practice-to-policy lens. Rather than focusing on algorithms or computational systems, IJTDI foregrounds the sociotechnical dynamics through which intelligent digital technologies reshape industries, organisations, governance frameworks and human experience. This perspective acknowledges digital intelligence as an interface between technological innovation, organisational practice and societal governance.

18 June 2026

Free Open Access issue published by International Journal of Reasoning-based Intelligent Systems

The International Journal of Reasoning-based Intelligent Systems has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • The stable diffusion model incorporating group feature constraints and interactive guidance, and a high-fidelity generation method for public group portraits
  • Water-economic collaborative management in the Yellow River Basin by dual-channel adaptive spatio-temporal graph transformer
  • Multi-feature fusion model for interactive behaviour recognition in university classrooms using convolutional neural networks and temporal attention mechanisms
  • Characteristic mapping using HTTGCN in structural materials
  • A multimodal adaptive deep network for emotion recognition in artistic images

Research pick: Cruise through crime prediction with AI - "Multidimensional crime prediction technique optimisation combining feature extraction and GAN"

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing approaches by combining information about where crimes occur, when they happen, and wider social patterns. They report details of the approach in the International Journal of Innovative Computing and Applications.

The model combines a graph convolutional network, which identifies relationships between locations, with a transformer, an AI architecture designed to detect patterns over time. Together, the techniques allow the system to capture both spatial and temporal trends in criminal activity. The researchers also incorporated a generative adversarial network (GAN), a system in which two AI models compete to improve performance. The GAN was enhanced using a variational autoencoder, a method that helps generate more representative data while reducing common training problems such as biased outputs and vanishing gradients, where learning slows or stops.

The system integrates several machine-learning techniques to analyse complex datasets that traditional methods often struggle to process. In tests on historical data from several US cities, including Los Angeles and Seattle, the model achieved an accuracy rate of 86.3 per cent when predicting robberies. The strongest competing systems had an accuracy of 83.2 per cent. The new system also gave strong results across other crime categories.

The researchers suggest that accurate forecasting could help law enforcement allocate resources more effectively and identify areas at higher risk of crime. However, there are limitations. The system was less accurate in areas with sparse crime data and struggled to make predictions in locations with little or no historical information. Future work will focus on adapting the model to such environments through transfer learning, which will allow knowledge gained in one setting to be applied to another.

Xie, M. (2026) ‘Multidimensional crime prediction technique optimisation combining feature extraction and GAN’, Int. J. Innovative Computing and Applications, Vol. 15, No. 5, pp.289–299.

New Open Access article available: "Quantifying wall effects on spherical particle settling with the Lattice Boltzmann method"

The following Progress in Computational Fluid Dynamics, An International Journal article, "Quantifying wall effects on spherical particle settling with the Lattice Boltzmann method", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access special issue on "Exploring AI: Methods and Applications for Data Mining – Part 1" published by International Journal of Business Intelligence and Data Mining

The International Journal of Business Intelligence and Data Mining has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Improved multi-objective quantum genetic algorithm for low-carbon economic dispatch in power grids
  • Optimisation of nursing human resources allocation in large hospitals based on improved particle swarm optimisation algorithm
  • Study on fault diagnosis and recovery for digital distribution networks: ITOT fusion
  • Automatic correction of subjective sentence similarity questions based on text image recognition
  • Research on personalised recommendation of tourist attractions based on improved collaborative filtering algorithm
  • Research on fuzzy clustering of ideological and political MOOC resources under the background of 'Internet plus'
  • A colour restoration method for multi-texture oil painting images based on colour transfer
  • An operation status prediction of transformer calibration instrument using PSO-attention-LSTM algorithm
  • Automatic classification and mining algorithm for massive big data based on machine learning
  • An identification method of enterprise financial information transparency based on blockchain
  • An optimisation of power system load forecasting driven by deep learning model

New Open Access article available: "Classroom student emotion recognition using an improved segmentation clustering and multi-feature fusion emotion recognition algorithm"

The following International Journal of Continuing Engineering Education and Life-Long Learning article, "Classroom student emotion recognition using an improved segmentation clustering and multi-feature fusion emotion recognition algorithm", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

17 June 2026

New Open Access article available: "Change detection framework for power facilities in disaster scenarios"

The following International Journal of Power and Energy Conversion article, "Change detection framework for power facilities in disaster scenarios", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: AI vital signs - "Intelligent monitoring of patient vital signs based on adaptive attention fusion spatiotemporal graph neural network"

Researchers have developed an artificial intelligence-based patient monitoring system they say can identify signs of clinical deterioration earlier and more accurately than existing approaches. The system could help hospital staff intervene before a patient’s condition becomes critical. Details are discussed in the International Journal of Ad Hoc and Ubiquitous Computing.

Traditional monitoring systems rely largely on fixed thresholds for individual measurements such as heart rate, blood pressure or oxygen levels. However, these approaches often fail to account for differences between patients and may overlook how physiological changes interact across the body.

The new approach combines three machine-learning techniques. An adaptive attention mechanism continuously adjusts the importance assigned to different physiological signals. A spatiotemporal graph neural network analyses how vital signs influence one another and evolve. The system also incorporates reinforcement learning, a method in which algorithms learn decision-making strategies through feedback, enabling it to provide active clinical decision support rather than simply issuing alarms.

Tests were carried out to see how well the system performed in predicting historical outcomes recorded in two major intensive care unit (ICU) databases, MIMIC-III and eICU. The system achieved 96.3 per cent anomaly detection accuracy, generated warnings almost 40 minutes before critical events occurred, and reduced false alarms to 6.4 per cent.

Cheng, S., Zhu, J., Guan, S., Cheng, J. and Dou, T. (2026) ‘Intelligent monitoring of patient vital signs based on adaptive attention fusion spatiotemporal graph neural network’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 52, No. 5, pp.48–62.

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Empirical analysis of the impact of personal income tax reform on household consumption: based on 2016-2022 microdata
  • Unsupervised transfer learning for real-time motor resonance fault diagnosis on programmable logic controllers
  • Psychological trait mining of juvenile offending from large language models and online behaviour analytics
  • A machine learning-based intelligent evaluation and feedback system for college English speaking
  • Modelling of dynamic coverage process by quadrotor swarms for sudden abnormal crowd evacuation

New Open Access article available: "Automation measures and power quality optimisation of power line carrier control based on electric spring and wavelet transform"

The following International Journal of Systems, Control and Communications article, "Automation measures and power quality optimisation of power line carrier control based on electric spring and wavelet transform", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.


New Open Access article available: "Unlocking computational thinking: immersive technologies for solving complex problems"

The following International Journal of Technology Enhanced Learning article, "Unlocking computational thinking: immersive technologies for solving complex problems", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

16 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • A real-time financial risk detection model for enterprises based on distributed reinforcement learning
  • Core talent loss early warning algorithm integrating temporal collaborative filtering and the Prophet model
  • Style era switching and spatial-temporal evolution simulation of revolutionary cultural relics by integrating semantic segmentation and GIS spatial analysis
  • Dynamic employee turnover risk prediction model based on GraphSAGE-LSTM
  • Machine learning modelling and algorithm optimisation for identifying financial risks in listed companies

Research pick: Transformers: AI in disguise detects heart disease - "Heart disease detection using 1D transformer network: case of ECG signals and clinical data"

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for language processing, can be used to detect heart disease from electrocardiogram (ECG), according to research in the International Journal of Medical Engineering and Informatics. Tests show it works well with data from several well-known medical datasets.

Heart disease is a major healthcare problem, with almost 18 million dying prematurely each year because of it. The challenge if finding ways to detect cardiovascular disease early enough to make treatment effective. An ECG is the standard way to record the heart’s electrical activity and is thus a common diagnostic tool. Interpretation of the trace needs significant expertise, is time-consuming and is not without the risk of misinterpretation.

The researchers discusses a one-dimensional (1D) Transformer model that can analyse ECG signals and in parallel with other clinical data. In tests, it was up to 94.2 per cent accurate in spotting the early stages of heart disease. Such precision coupled with expert clinical assessment can suffice to give the healthcare team more reliable options in taking a patient on to the next step in diagnosis and potential treatment.

The researchers suggest that their approach needs further development and validation with independent clinical datasets before it can be tested in a live clinical setting.

Miloud Aouidate, A. (2026) ‘Heart disease detection using 1D transformer network: case of ECG signals and clinical data’, Int. J. Medical Engineering and Informatics, Vol. 18, No. 5, pp.1–18.

Free Open Access special issue on "Generative AI and Integrated Sensing Communication for Enhanced Ubiquitous Computing" published by International Journal of Ad Hoc and Ubiquitous Computing

The International Journal of Ad Hoc and Ubiquitous Computing has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Dynamic load balancing model for data centres based on bidirectional network edge detection algorithm
  • Intelligent automotive trade market forecasting and decision-making system: multi-source data fusion under meta-learning
  • Design and optimisation of multi-party secure computing protocols supporting dynamic participant switching
  • Integrating multi-modal emotion recognition with strategy generation: a transformer approach to sustainable marketing
  • Intelligent monitoring of patient vital signs based on adaptive attention fusion spatiotemporal graph neural network
  • Adaptive deep reinforcement learning-based error analysis model for strength training
  • Personalised service and sentiment analysis for intelligent customer relationship management systems based on natural language processing
  • Modelling and simulation for biomechanical responses of acupuncture points based on multi-physics field coupling
  • An optimisation framework for audit decision-making based on deep convolutional neural networks and reinforcement learning

Free sample articles newly available from International Journal of Knowledge-Based Development

The following sample articles from the International Journal of Knowledge-Based Development are now available here for free:
  • Cultural industries 4.0: how digitalisation is reshaping the sector: insights from a systematic literature review
  • Knowledge sharing, occupational self-efficacy, and transformational leadership: drivers of innovative work behaviour
  • Role of green transformational leadership, knowledge management and green innovation in driving corporate sustainable development
  • Quality evaluation of software engineering professional talent training under the background of new engineering
  • The quality evaluation model of open education learning support services under the background of digital transformation

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Modelling news dissemination networks using a community-based graph traversal algorithm and its performance evaluation
  • Reasoning application of knowledge graph fusion-enhanced graph neural networks in English reading comprehension
  • An attention-based multi-engine architecture enhances the ability of English translation to resolve ambiguity
  • Generative AI and multimodal learning spaces for perceiving and regulating English learning anxiety
  • Measuring echo chamber effects in youth online communities with temporal clustering

15 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Emotion-driven recommender system for low-carbon products: sentiment feedback and satisfaction evaluation from online reviews
  • STEAM art course design combining generative AI and prompt engineering
  • Design of sharing model of information-based teaching materials upon deep learning
  • Data fusion-driven choreography-multimedia integration: a collaborative framework for coherent multi-sensory performance experiences
  • Multi-modal e-commerce data analysis system based on deep learning: visual perception and emotional computing

Research pick: Save the soil - "Impact of climate change on soil loss in small catchments in the Amazon and Cerrado biomes"

A comparative modelling study of two Brazilian rain catchments suggests that climate change will have contrasting effects on future soil erosion in the Amazon and Cerrado. The findings have implications for land management in both biomes in the coming decades.

The research, published in the International Journal of Hydrology Science and Technology, used rainfall records and projections from NASA’s Earth Exchange Global Daily Downscaled Projections (NEX-GDDP). This allowed the team to estimate soil loss under different scenarios.

Soil loss, the amount of soil removed by erosion, was calculated using the Universal Soil Loss Equation (USLE), which estimates erosion driven by rainfall, land cover, topography, and soil properties. Rainfall erosivity refers to rain’s capacity to detach and transport soil particles.

The team explains that the Cerrado is a biodiverse savanna, while the Amazon regulates rainfall through evapotranspiration, the transfer of water from land to the atmosphere. Differences in rainfall, elevation and land use affect soil erosion patterns. The global circulation models (GCMs) of climate simulations suggest that shifting rainfall intensity will change erosion rates with heavier rainfall increasing soil loss risk.

In the Amazon catchment, soil loss historically ranges from just a few dozen kilograms per hectare each year to almost 20 tonnes per hectare per year. Soil erosion is predicted to increase by several per cent through the remainder of this century.

By contrast, soil loss in the Cerrado’s Piranhas River catchment has been from a hundred kilograms or so to almost 250 tonnes per hectare per year. The models predict that soil erosion will actually become less of a problem in the coming years despite the effects of climate change.

As such, there is a need to respond to the changes of the future in different ways in the two very different regions. In the Amazon catchment, rising erosion risk supports conservation measures such as terracing, no-till farming and crop rotation. While in the Cerrado catchment, simply maintaining current agricultural practices may help sustain reduced soil loss.

Sobral, R.V.S., Lobato, A.K.R., Soares, A.d.C.L., de Mendonça, L.M., Cruz, J.d.S. and Blanco, C. (2026) ‘Impact of climate change on soil loss in small catchments in the Amazon and Cerrado biomes’, Int. J. Hydrology Science and Technology, Vol. 21, No. 4, pp.417–436.

Free Open Access issue published by International Journal of Reasoning-based Intelligent Systems

The International Journal of Reasoning-based Intelligent Systems has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • DeepFM-driven personalised recommendation algorithm integrating multimodal multimedia for college English listening: an empirical study with controlled experiment
  • A weighted multimodal fusion and deep learning framework for quantitative evaluation of music performance effects
  • Intelligent multimodal analysis of musical time-series: an approach to mental health estimation
  • Intelligent judgement and training optimisation algorithm of table tennis landing area driven by deep learning and computer vision
  • A multi modal fusion framework combining CNN-based image recognition and BERT-based NLP for intelligent retrieval and matching of English teaching resources

Free Open Access issue published by International Journal of Economics and Business Research

The International Journal of Economics and Business Research has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Crisis myopia: how systemic uncertainty reverses the logic of saving and consumption
  • Building trust and confidence in the use of banking apps: a study on Southeast Asia and Europe
  • The competitive strategy analysis of the South African telecommunication industry
  • Building innovative employees: the influence of psychological safety, psychological capital, and intrinsic motivation in the banking sector

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Explainable AI-assisted creative system for visual communication design: based on diffusion models and user intent understanding
  • Generative AI and cybersecurity in 6G for intelligent English language learning systems
  • Integrated design of graphic creativity and visual information visualisation in multimodal contexts
  • Student performance and health management technology based on GPA model and psychological data mining
  • Multi-modal advertising visual information fusion using dynamic heterogeneous graph neural networks

12 June 2026

Research pick: Emotional by design - "Deep learning-based innovative product design driven by social network data"

A new AI system can convert social media discussion about a product into a new design that takes into account user needs more accurately than earlier approaches, according to research in the International Journal of Information and Communication Technology.

The work addresses the problem of complexity in attempting to extract useful information from social network data for product development. Comments and reviews are typically unstructured, meaning they do not follow a fixed format, and also have many variables, such as sentiment, context, and usage scenarios, which makes it difficult to translate into insights about how people feel about products.

A deep-learning framework is at the heart of the system and combines various AI components. Firstly, it uses a multi-scale attention network to identify emotional needs in user comments. Attention in machine learning refers to a mechanism that prioritises the most relevant information in a dataset. The idea of multi-scale processing means it captures both detailed and broad patterns in language. The second component is a generative adversarial network (GAN). This uses two models working against each other, with one generating images and the other evaluating them. In addition, a spatial cross-reconstruction module refines image features, while a semantic correlation module links textual emotion signals to visual attributes. All of this works to improve the link between what the users say about the original product and the new design.

In tests, the model achieved more than 90 per cent accuracy in identifying the users’ emotional needs. This improves on existing methods and suggests that AI might help with data-driven product design informed by user sentiment and social media behaviour.

Wang, C. (2026) ‘Deep learning-based innovative product design driven by social network data’, Int. J. Information and Communication Technology, Vol. 27, No. 49, pp.59–78.

Free Open Access issue published by International Journal of Managerial and Financial Accounting

The International Journal of Managerial and Financial Accounting has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Effect of board-ownership dynamics on shareholders' wealth in Sub-Saharan Africa
  • Global research mapping on the convergence of ESG and sustainable finance: a bibliometric and topic modelling approach

New Open Access article available: "Assessing environmentally sustainable practices in boutique hotels: frontline staff perspectives"

The following World Review of Entrepreneurship, Management and Sustainable Development article, "Assessing environmentally sustainable practices in boutique hotels: frontline staff perspectives", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access special issue on "Achieving Carbon Neutrality from Environmental Impact Monitoring and Assessment Technologies – Part IV" published by International Journal of Environment and Pollution

The International Journal of Environment and Pollution has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Mapping carbon disclosure research: bibliometric analysis and frontier exploration
  • Health impact assessment of the cooling benefits of urban green infrastructure from the resilience perspective
  • Impact of sewage treatment plants on local tourism and ecotourism

Free Open Access issue published by International Journal of Reasoning-based Intelligent Systems

The International Journal of Reasoning-based Intelligent Systems has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Research on English oral classroom instruction design in teacher-AI collaborative models
  • The application of moderated mediation statistical model in the study of college students' online music purchase intention
  • Research on compliance of intelligent penalty system of tennis match based on multi-source heterogeneous data fusion
  • Multimodal learning behaviour clustering and psychological cognitive state assessment algorithm
  • Legal requirement identification and zero-knowledge proof under concealed addresses
  • A topological deep learning framework for graph representation: application to metal-organic frameworks

11 June 2026

Research pick: Cash and carry on - "Corporate failure prediction model for European SMEs"

A study in the Global Business and Economics Review suggests that the failure of small and medium-sized enterprises (SMEs) can be predicted as much as three years before insolvency. The work could offer lenders, investors, and business owners an early warning of financial problems years in advance.

The researchers analysed data from more than 24500 European companies over an eight-year period. From this data, they developed a forecasting model that has an overall accuracy of about 82 per cent. It could identify more than 70 per cent of insolvencies three years in advance on test data with known outcomes. The final model relies on seven financial indicators: cash ratio, contribution per interest paid ratio, solvency ratio, short-term financing, leverage, debt-assets ratio, and return on assets. These measures capture a company’s liquidity, debt burden, financial resilience, and profitability. However, the model could yet be improved if there were greater disclosure from SMEs. That said, this is highly unlikely given the nature of smaller businesses.

The researchers say the work addresses a big gap in the corporate finance literature. Traditionally, this has focused on large publicly listed companies. However, SMEs account for most businesses in OECD economies and roughly two-thirds of employment, making their stability an important economic issue.

Silva, S. (2026) ‘Corporate failure prediction model for European SMEs’, Global Business and Economics Review, Vol. 34, No. 4, pp.395–419.

Free Open Access issue published by International Journal of Computational Systems Engineering

The International Journal of Computational Systems Engineering has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Construction and modular design of teacher education course knowledge graph based on association rule mining
  • Cultivating collaborative innovation ability model in higher education based on multi-agent system

New Open Access article available: "Judgement stage in electronic administrative proceedings and evidentiary authority"

The following International Journal of Electronic Security and Digital Forensics article, "Judgement stage in electronic administrative proceedings and evidentiary authority", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Business and Globalisation

The International Journal of Business and Globalisation has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • How innovation shapes export performance through market and entrepreneurial orientations in a geopolitical era
  • Untangling the mystery of employee happiness in the FMCG sector: the role of corporate social responsibility, environmental self-identity and corporate image

New Open Access article available: "Roots of innovative knowledge in small commercial enterprises in Ecuador"

The following International Journal of Entrepreneurship and Small Business article, "Roots of innovative knowledge in small commercial enterprises in Ecuador", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

10 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • A multi-objective optimisation model for the spatial layout of public art
  • Fault diagnosis and self-healing of power line carrier communication enabled by artificial intelligence: smart grid application based on data mining
  • Social sentiment early warning system integrating transformers and explainable SHAP values
  • Adversarial machine learning algorithms for English translation quality estimation
  • Utility-driven simulation modelling and multi-objective evolutionary optimisation for BIM-based construction emission reduction

Research pick: A deep dive for meaning - "Application of quantum optimisation osprey algorithm in English translation quality improvement model"

Research in the International Journal of Information and Communication Technology has taken inspiration from the hunting behaviour of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.

Ospreys scan large areas of the water before making precise dives on their piscine targets. This strategy has been modelled and adapted into an algorithm that balances broad exploration with focused searches for promising solutions. The result in this work is the Quantum-Optimised Osprey Optimisation Algorithm (QOOA). The team explains that QOOA uses qubits, the mathematical units of quantum information, to explore a wider range of possible solutions. It also incorporates a quantum rotation mechanism that shifts from broad exploration to targeted refinement as the search progresses.

The team tested the new model on the WMT2018 English-Chinese translation benchmark, which contains almost 177,000 training examples. Compared with a baseline neural machine translation system, QOOA scored 3.2 percentage points higher and reduced the number of post-translation edits needed by 12.7 per cent. In addition, the team reports that their approach was particularly effective for lengthy and technical texts, where previous translation systems have been prone to errors and ambiguity.

Wang, L. (2026) ‘Application of quantum optimisation osprey algorithm in English translation quality improvement model’, Int. J. Information and Communication Technology, Vol. 27, No. 49, pp.1–18.

New Open Access article available: "Influencer persona endorsement and algorithm awareness as drivers of product search intention on Douyin: an extended TPB approach"

The following International Journal of Information and Decision Sciences article, "Influencer persona endorsement and algorithm awareness as drivers of product search intention on Douyin: an extended TPB approach", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Computational Vision and Robotics

The International Journal of Computational Vision and Robotics has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

New Open Access article available: "Inventory turnover and corporate performance in an emerging market: a nonlinear dynamic analysis"

The following International Journal of Business Excellence article, "Inventory turnover and corporate performance in an emerging market: a nonlinear dynamic analysis", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

9 June 2026

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Deep learning-driven multimodal early warning analysis for intelligent security in coal mine camps
  • Emotion representation and recognition in oil paintings via meta-learning and semantic augmentation
  • Generation of virtual character interaction logic driven by multimodal behavioural data
  • Visual feedback-driven active perception by drone swarms for proactive crowd anomaly capture
  • Dynamic resource allocation in smart laboratories based on multi-agent reinforcement learning

Research pick: The microbial fuel cell promise – clean energy, clean water - "Innovative applications and recent developments in microbial fuel cells: a comprehensive review"

Microbial fuel cells (MFCs), which use microorganisms to generate electricity from organic waste, are emerging as a tool in the transition to cleaner energy systems and for the treatment of waste water, according to a review of recent research in the International Journal of Environment and Waste Management.

Unlike conventional power generation, MFCs use bacteria that break down organic matter and generate electrons as part of their natural metabolism. These electrons can be tapped off from the fuel cell by electrodes to create an electrical current. The review points out that wastewater, food waste, and agricultural by-products can all be used as a food supply for the bacteria and therefore as a sustainable fuel source for power production.

Indeed, the researchers argue that the greatest strength of this technology is to combine electricity generation with waste treatment. In wastewater facilities, MFCs can help remove organic pollutants while simultaneously producing power, potentially reducing the energy demands of treatment plants.

The team highlights advances in electrode materials, including carbon nanotubes, graphene, and conductive polymers. The review also considers the role of electroactive bacteria. These are microbes that can transfer electrons directly to the electrodes and include those in the Geobacter, Shewanella, and Pseudomonas genera.

Challenges remain, however. Power output is still relatively low in MFCs, and scaling systems from the laboratory bench to an industrial operation remains difficult. Cost, efficiency and long-term reliability must improve considerably to allow MFCs to achieve widespread commercial adoption.

Deshmukh, S.M., Dhokpande, S.R. and Sankhe, A.A. (2026) ‘Innovative applications and recent developments in microbial fuel cells: a comprehensive review’, Int. J. Environment and Waste Management, Vol. 40, No. 1, pp.1-26.

New Open Access article available: "Low-carbon interior decoration lifecycle analysis based on BIM technology"

The following International Journal of Environmental Engineering article, "Low-carbon interior decoration lifecycle analysis based on BIM technology", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.
  • Advancing the application of intelligent design systems in adaptive co-creation models using AIGC and reinforcement learning
  • Evolution of cultural community interaction networks and information propagation based on dynamic interest graph
  • Dynamic sound field reconstruction with multi-channel broadcasting systems in immersive virtual environments
  • Integrating deep learning and GIS technology for optimising rural tourism development paths
  • Deep learning-based public crisis event identification for multimodal data contexts

New Open Access article available: "Heart disease detection using 1D transformer network: case of ECG signals and clinical data"

The following International Journal of Medical Engineering and Informatics article, "Heart disease detection using 1D transformer network: case of ECG signals and clinical data", is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

8 June 2026

Research pick: We need blockchain education - "Blockchain-enabled secure distance learning platforms for higher education"

Research in the International Journal of Information and Communication Technology has looked at potential security and privacy weaknesses in remote higher education systems, focusing on centralised virtual learning platforms.

The researchers explain that these platforms usually rely on a single administrative infrastructure for authentication, records, and content delivery. This, they suggest, creates a single point of failure, where disruption or compromise of the central system might then affect the entire environment. This could open up the possibility of data tampering, credential fraud, and unauthorised access, while undermining trust in online degrees.

The team suggests that blockchain technology, usually associated with digital, or crypto, currencies, has the potential to protect education systems, making them tamper-proof. Earlier work has been tried allowing simple static credential storage. But the new approach is dynamic and could be used for enrolment, course access and ongoing assessment, rather than being mainly a certificate verification system.

The team’s proposal of Blockchain-Enabled Secure Distance Learning (BESDL) represents a lifecycle-based framework covering the full education process. It uses smart contracts, self-executing rules on a blockchain, to manage decentralised identity management, secure content-based access control, and encrypted content delivery.

Tests suggest improved authentication speed, better security, and greater scalability under high concurrent student loads compared with conventional systems.

Chen, J. and Chang, X. (2026) ‘Blockchain-enabled secure distance learning platforms for higher education‘, Int. J. Information and Communication Technology, Vol. 27, No. 56, pp.1-31.

5 June 2026

Research pick: Factory-in-factory systems for greener industry - "Industry note: Innovative waste-to-energy pyrolysis technology for sustainable biowaste utilisation"

A waste-to-energy system designed for palm oil mills could turn agricultural waste into electricity, industrial fuels and carbon-storing materials while generating commercially viable returns, according to an “Industrial Note” in the International Journal of Agriculture Innovation, Technology and Globalisation.

The authors examined Factory in Factory (FiF) systems wherein an integrated biomass treatment system built around two linked technologies can be used to convert organic waste into usable energy and saleable by-products. The work argues that the approach could help industries reduce greenhouse gas emissions while addressing mounting pressure on landfill capacity and waste disposal.

The system is aimed particularly at palm kernel cake (PKC). This is a waste residue from palm oil production that is generated in vast quantities at mills across Malaysia. The material is already concentrated at these industrial sites, so using FiF means transportation and collection costs are avoided almost entirely.

At the centre of the process is Pyrolysis Molecularisation Extraction Technology (PMET), which uses pyrolysis. Pyrolysis is the thermal decomposition of organic material without oxygen. This approach can process around 300 kilograms of biomass per hour. The process generates combustible gas, carbon-rich biochar and a liquid bio-oil known as green tar.

Biochar, a charcoal-like substance, can be used either to sequester carbon for long periods or as a soil improver and for pollution treatment. The bio-oil could be used as industrial fuel or as a feedstock for chemical, pharmaceutical, and biomedical products as an alternative to fossil products from the petrochemical industry.

The authors explain that a second component, the Gas Generator Assemble Cabinet (GGAC), can use pyrolysis-generated gas in electricity production. Such units can generate around 130 megawatts of electricity per month. This would allow mills either to offset their own power use or sell electricity to the national grid.

Lee, C-W. and Kao, W. M-W. (2026) ‘Industry note: Innovative waste-to-energy pyrolysis technology for sustainable biowaste utilisation‘, Int. J. Agriculture Innovation, Technology and Globalisation, Vol. 5, No. 2.

Editorial statement from Prof. Luna Leoni, Editor in Chief of the International Journal of Information and Operations Management Education: Time for a Renewed Vision

Organisations worldwide are redefining how managerial knowledge, operational capabilities, digital competencies and learning processes are developed and transferred. Accelerated technological change, AI-driven transformation, new workforce expectations and increasing organisational complexity are reshaping both management practice and management education at an unprecedented pace.

Within this evolving landscape, the International Journal of Information and Operations Management Education (IJIOME) is entering a renewed phase of development to strengthen its relevance, international visibility and interdisciplinary contributions.

Since its foundation, IJIOME has provided a valuable platform for research at the intersection of information systems, operations management and education. The journal has advanced our understanding of how organisations and individuals learn, adapt and manage information and operational processes in dynamic environments.

Today, these foundational themes are becoming even more strategically important. Organisations increasingly require future-ready managerial capabilities, digitally enabled learning systems and adaptive operational models that can respond to continuous transformation.

Rather than redefining the journal’s mission, this renewed direction strengthens and modernises IJIOME’s original interdisciplinary foundations. The journal will continue to serve as a rigorous international forum for research addressing the evolving relationships between information systems, operations management, organisational learning and management capability development. In particular, IJIOME will place growing emphasis on four interconnected domains that reflect both the journal’s historical strengths and the emerging priorities of contemporary management research:
  • Digital transformation and information-driven organisations, including AI-enabled management, digital capabilities, smart operations and data-driven organisational systems.
  • Future-oriented management education, including digital skills, workforce transformation, competency-based education and technology-enhanced learning environments.
  • Organisational learning and knowledge development, including learning organisations, knowledge transfer, intellectual capital and managerial capability building.
  • Sustainable and responsible organisational transformation, including ESG integration, responsible leadership, sustainable operations and human-centred organisational development.
By reinforcing these directions, IJIOME seeks to support a broader international research community while remaining fully consistent with its core identity and mission.

We warmly invite scholars, educators, practitioners and policymakers from around the world to contribute rigorous, relevant and forward-looking research addressing the future of organisations, management education, information systems and operational transformation.

We are particularly interested in contributions that bridge academic rigour and managerial relevance, as well as proposals for special issues devoted to emerging and high-impact themes.

We look forward to a renewed period of growth, visibility and international engagement for IJIOME, and we sincerely thank our authors, reviewers, editorial board members and readers for their continued support and trust.

4 June 2026

Research pick: Track and trace for fake reviews - "Precise identification and traceability of fake e-commerce reviews integrating multimodal semantic understanding"

Research in the International Journal of Information and Communication Technology discusses the development of an artificial intelligence (AI) system that combines text, images and reviewer behaviour to detect and trace fake e-commerce reviews. The system could address the growing challenge faced by online marketplaces as deceptive feedback becomes increasingly sophisticated.

The team used a multimodal approach to analyse several types of data at once rather than relying solely on an examination of written comments. Existing systems often focus on review text or simple behavioural indicators, making them vulnerable to fabricated reviews paired with misleading images.

To improve detection, the researchers used a text convolutional neural network. This is a machine-learning model designed to identify patterns in language. In parallel, a pre-trained language model was employed that captures broader semantic meaning. The team adds that information about reviewers was also incorporated into the analysis as well as images attached to reviews. The images were analysed using a residual network, a deep-learning architecture used in computer vision.

The system then brings together these various signals to work out whether a particular review is genuine or not. A Transformer model, widely used in modern AI systems, could then be used to trace the origins and spread of a review flagged as suspicious. Tests on large-scale datasets showed measurable gains over existing methods, the team reports.

Duan, B. (2026) ‘Precise identification and traceability of fake e-commerce reviews integrating multimodal semantic understanding’, Int. J. Information and Communication Technology, Vol. 27, No. 35, pp.81–102.

3 June 2026

Research pick: Mother Goose and Rikki-Tikki-Tavi secure software networks - "Traffic anomaly detection with wild geese dwarf mongoose optimisation_DQNN"

Researchers have developed a new artificial intelligence-based system designed to improve cyberattack detection in software-defined networks (SDNs), a networking architecture widely used in data centres and enterprise systems.

The system combines a deep quantum neural network with a novel optimisation technique inspired by the behaviour of wild geese and dwarf mongooses. Its aim is to identify abnormal network traffic, including distributed denial-of-service (dDoS) attacks, while preventing network controllers from becoming overloaded.

SDNs differ from traditional networks by separating the control plane, which makes routing decisions, from the data plane, which forwards traffic. While this design improves flexibility and centralises management, it also creates potential targets for attackers seeking to disrupt communications between controllers and network devices.

In the new approach outlined in the International Journal of Heavy Vehicle Systems, network traffic is analysed using a deep quantum neural network, a machine-learning model designed to recognise complex patterns. When suspicious traffic is detected, the system assesses controller workloads and automatically transfers network switches from overloaded controllers to those with spare capacity.

In simulations, the researchers demonstrated a detection accuracy of 93.7%. They obtained a true positive rate of 91.6% and a true negative rate of 87.5%. The researchers argue that combining traffic anomaly detection with automated load balancing could strengthen increasingly centralised network infrastructures.

Ahsan Shariff, M. and Nelson Kennedy Babu, C. (2026) ‘Traffic anomaly detection with wild geese dwarf mongoose optimisation_DQNN’, Int. J. Heavy Vehicle Systems, Vol. 33, No. 2, pp.147–172.

2 June 2026

Research pick: Wear and tear it up the track - "Application of wearable motion tracking devices in training, monitoring, and evaluation"

Researchers have developed an enhanced wearable motion-tracking system that could improve the accuracy of fitness trackers used to monitor exercise and training. The team provides details in the International Journal of Data Mining and Bioinformatics.

Current wearable devices often show inconsistencies in heart-rate monitoring and can miscalculate calories burnt, speed, and distance travelled. Such inaccuracies limit their usefulness for health-conscious consumers, but particularly for athletes and their coaches who need precision.

The new work hopes to improve both data collection and sensor calibration. Researchers used fuzzy algorithms, computational methods designed to handle uncertain or variable information, to analyse real-time exercise data. They also applied filtering techniques to remove noise and improve data quality before calibrating the device’s sensors.

In their tests, they found that measurements of heart rate, calorie expenditure, movement speed, and distance closely matched those obtained through standard laboratory procedures. The researchers suggest that their main advance lies in combining improved sensor calibration with more sophisticated data processing. This allows the device to generate a more reliable picture of an athlete’s training performance in real time.

The findings could be used beyond competitive sport to help users develop personalised fitness programmes for health monitoring and injury prevention by giving them more dependable information about their physical activity.

Wu, F., Yang, S., Zhang, C. and Wu, H. (2026) ‘Application of wearable motion tracking devices in training, monitoring, and evaluation’, Int. J. Data Mining and Bioinformatics, Vol. 30, No. 6, pp.71–91.